activity
20192025
most citedWaveCRN: An Efficient Convolutional Recurrent Neural Network for End-to-end Speech Enhancement

77 citations · 237 across the 65 of their papers we have counts for

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Showing 2023Show all

8 papers · 1 filter

eess.AS2023

LC4SV: A Denoising Framework Learning to Compensate for Unseen Speaker Verification Models

Chi-Chang Lee, Hong-Wei Chen, Chu-Song Chen +3

The performance of speaker verification (SV) models may drop dramatically in noisy environments. A speech enhancement (SE) module can be used as a front-end strategy. However, exis…

eess.AS2023

Multi-objective Non-intrusive Hearing-aid Speech Assessment Model

Hsin-Tien Chiang, Szu-Wei Fu, Hsin-Min Wang +2

Without the need for a clean reference, non-intrusive speech assessment methods have caught great attention for objective evaluations. While deep learning models have been used to…

cs.CV2023★ 6 cited

AV-Lip-Sync+: Leveraging AV-HuBERT to Exploit Multimodal Inconsistency for Deepfake Detection of Frontal Face Videos

Sahibzada Adil Shahzad, Ammarah Hashmi, Yan-Tsung Peng +2

Multimodal manipulations (also known as audio-visual deepfakes) make it difficult for unimodal deepfake detectors to detect forgeries in multimedia content. To avoid the spread of…

eess.AS2023★ 2 cited

The VoiceMOS Challenge 2023: Zero-shot Subjective Speech Quality Prediction for Multiple Domains

Erica Cooper, Wen-Chin Huang, Yu Tsao +3

We present the second edition of the VoiceMOS Challenge, a scientific event that aims to promote the study of automatic prediction of the mean opinion score (MOS) of synthesized an…

cs.CV2023★ 19 cited

AVTENet: A Human-Cognition-Inspired Audio-Visual Transformer-Based Ensemble Network for Video Deepfake Detection

Ammarah Hashmi, Sahibzada Adil Shahzad, Chia-Wen Lin +2

The recent proliferation of hyper-realistic deepfake videos has drawn attention to the threat of audio and visual forgeries. Most previous studies on detecting artificial intellige…

eess.AS2023

Multi-Task Pseudo-Label Learning for Non-Intrusive Speech Quality Assessment Model

Ryandhimas E. Zezario, Bo-Ren Brian Bai, Chiou-Shann Fuh +2

This study proposes a multi-task pseudo-label learning (MPL)-based non-intrusive speech quality assessment model called MTQ-Net. MPL consists of two stages: obtaining pseudo-label…

cs.SD2023

Mandarin Electrolaryngeal Speech Voice Conversion using Cross-domain Features

Hsin-Hao Chen, Yung-Lun Chien, Ming-Chi Yen +4

Patients who have had their entire larynx removed, including the vocal folds, owing to throat cancer may experience difficulties in speaking. In such cases, electrolarynx devices a…

cs.SD2023

Audio-Visual Mandarin Electrolaryngeal Speech Voice Conversion

Yung-Lun Chien, Hsin-Hao Chen, Ming-Chi Yen +4

Electrolarynx is a commonly used assistive device to help patients with removed vocal cords regain their ability to speak. Although the electrolarynx can generate excitation signal…